<html>
<head>
  <title>Loans - Status</title>
  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8" />
  <link rel="stylesheet" type="text/css" href="mystyle.css"/>
  <script type="text/javascript" src="jquery.js"></script>
  <script type="text/javascript" src="menu.js"></script>
  <script type="text/javascript">
    $(document).ready(function() { buildMenus(); });
  </script>
  <script type="text/javascript">var gaJsHost = (("https:" == document.location.protocol) ? "https://ssl." : "http://www.");document.write(unescape("%3Cscript src='" + gaJsHost + "google-analytics.com/ga.js' type='text/javascript'%3E%3C/script%3E"));</script>
  <script type="text/javascript">try {var pageTracker = _gat._getTracker("UA-7674244-2");pageTracker._trackPageview();} catch(err) {}</script>
</head>
<body>

<div id="content">
<img border="0" alt="Status" src="http://chart.apis.google.com/chart?cht=p&chs=650x450&chco=00FF00,000000&chtt=Status&chd=t:58,40,2,0,0&chl=paid (95,822)|in_repayment (65,749)|defaulted (3,523)|funded (310)|fundraising (48)"/>
  <br><br>
The status data is not as interesting as I had hoped.  I wanted to analyze the data to 
determine what makes a loan default, but it seems that loan failure is much more about the partner 
than the individual loan.  Currently there are 134 partners with loans, and only 16
 of them have any defaulted loans.  Of those 16 partners, just 4 of them account for 83.3% of the defaults.
  </div>

  <div id="menu"></div>
  <!--File generated on 30 Mar 2010 22:22:39 -->
</body>
</html>
